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  • 2023

    A graphon-signal analysis of graph neural networks

    Levie, R., 2023, In: Advances in Neural Information Processing Systems. 36

    Research output: Contribution to journal › Conference article › peer-review

  • Approximately Equivariant Graph Networks

    Huang, N., Levie, R. & Villar, S., 2023, In: Advances in Neural Information Processing Systems. 36

    Research output: Contribution to journal › Conference article › peer-review

  • A Trichotomy for Transductive Online Learning

    Hanneke, S., Moran, S. & Shafer, J., 2023, In: Advances in Neural Information Processing Systems. 36

    Research output: Contribution to journal › Conference article › peer-review

  • Fine-Grained Distribution-Dependent Learning Curves

    Bousquet, O., Hanneke, S., Moran, S., Shafer, J. & Tolstikhin, I., 2023, In: Proceedings of Machine Learning Research. 195, p. 5890-5924 35 p.

    Research output: Contribution to journal › Conference article › peer-review

  • Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem

    Amir, T., Gortler, S. J., Avni, I., Ravina, R. & Dym, N., 2023, In: Advances in Neural Information Processing Systems. 36

    Research output: Contribution to journal › Conference article › peer-review

    1 Scopus citations

  • Statistical Indistinguishability of Learning Algorithms

    Kalavasis, A., Karbasi, A., Moran, S. & Velegkas, G., 2023, In: Proceedings of Machine Learning Research. 202, p. 15586-15622 37 p.

    Research output: Contribution to journal › Conference article › peer-review

    2 Scopus citations

  • The Bayesian Stability Zoo

    Moran, S., Schefler, H. & Shafer, J., 2023, In: Advances in Neural Information Processing Systems. 36

    Research output: Contribution to journal › Conference article › peer-review

  • The First Pathloss Radio Map Prediction Challenge

    Yapar, C., Jaensch, F., Levie, R., Kutyniok, G. & Caire, G., 2023, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.

    Research output: Contribution to journal › Conference article › peer-review

    Open Access
  • 2022

    A Resilient Distributed Boosting Algorithm

    Filmus, Y., Mehalel, I. & Moran, S., 2022, In: Proceedings of Machine Learning Research. 162, p. 6465-6473 9 p.

    Research output: Contribution to journal › Conference article › peer-review

  • A simple and universal rotation equivariant point-cloud network

    Finkelshtein, B., Baskin, C., Maron, H. & Dym, N., 2022, In: Proceedings of Machine Learning Research. 196, p. 107-115 9 p.

    Research output: Contribution to journal › Conference article › peer-review

    3 Scopus citations
  • 2020

    Learning from mixtures of private and public populations

    Bassily, R., Moran, S. & Nandi, A., 2020, In: Advances in Neural Information Processing Systems. 2020-December

    Research output: Contribution to journal › Conference article › peer-review

    6 Scopus citations

  • Online agnostic boosting via regret minimization

    Brukhim, N., Chen, X., Hazan, E. & Moran, S., 2020, In: Advances in Neural Information Processing Systems. 2020-December

    Research output: Contribution to journal › Conference article › peer-review

    7 Scopus citations
  • 2019

    An adaptive nearest neighbor rule for classification

    Balsubramani, A., Dasgupta, S., Freund, Y. & Moran, S., 2019, In: Advances in Neural Information Processing Systems. 32

    Research output: Contribution to journal › Conference article › peer-review

    16 Scopus citations

  • Average-Case Information Complexity of Learning

    Nachum, I. & Yehudayoff, A., 2019, In: Proceedings of Machine Learning Research. 98, p. 633-646 14 p.

    Research output: Contribution to journal › Conference article › peer-review

    6 Scopus citations

  • On Communication Complexity of Classification Problems

    Kane, D., Livni, R., Moran, S. & Yehudayoff, A., 2019, In: Proceedings of Machine Learning Research. 99, p. 1903-1943 41 p.

    Research output: Contribution to journal › Conference article › peer-review

    9 Scopus citations

  • Strong contraction, the mirabolic group and the Kirillov conjecture

    Subag, E. M. & Baruch, E. M., 24 Apr 2019, In: Journal of Physics: Conference Series. 1194, 1, 012104.

    Research output: Contribution to journal › Conference article › peer-review

    Open Access
  • 2018

    A Direct Sum Result for the Information Complexity of Learning

    Nachum, I., Shafer, J. & Yehudayoff, A., 2018, In: Proceedings of Machine Learning Research. 75, p. 1547-1568 22 p.

    Research output: Contribution to journal › Conference article › peer-review

    5 Scopus citations

  • Learners that Use Little Information

    Bassily, R., Moran, S., Nachum, I., Shafer, J. & Yehudayoff, A., 2018, In: Proceedings of Machine Learning Research. 83, p. 25-55 31 p.

    Research output: Contribution to journal › Conference article › peer-review

    58 Scopus citations
  • 2017

    Submultiplicative Glivenko-Cantelli and uniform convergence of revenues

    Alon, N., Babaioff, M., Gonczarowski, Y. A., Mansour, Y., Moran, S. & Yehudayoff, A., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 1657-1666 10 p.

    Research output: Contribution to journal › Conference article › peer-review

    4 Scopus citations
  • 2012

    A definition of contraction of Lie algebra representations using direct limit

    Subag, E. M., Baruch, E. M., Birman, J. L. & Mann, A., 2012, In: Journal of Physics: Conference Series. 343, 25 p., 012116.

    Research output: Contribution to journal › Conference article › peer-review

    Open Access

  • Population recovery and partial identification

    Wigderson, A. & Yehudayoff, A., 2012, In: Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS. p. 390-399 10 p., 6375317.

    Research output: Contribution to journal › Conference article › peer-review

    14 Scopus citations
  • 2006

    Integrating applications in the technion calculus course: A supplementary instruction experiment

    Aroshas, S., Verner, I. & Berman, A., 2006, In: ASEE Annual Conference and Exposition, Conference Proceedings.

    Research output: Contribution to journal › Conference article › peer-review

    3 Scopus citations
  • 2005

    {0,1} Completely positive matrices

    Berman, A. & Xu, C., 1 Apr 2005, In: Linear Algebra and Its Applications. 399, 1-3, p. 35-51 17 p.

    Research output: Contribution to journal › Conference article › peer-review

    Open Access
    11 Scopus citations

  • Curvature based clustering for DNA microarray data analysis

    Saucan, E. & Appleboim, E., 2005, In: Lecture Notes in Computer Science. 3523, II, p. 405-412 8 p.

    Research output: Contribution to journal › Conference article › peer-review

    14 Scopus citations
  • 1999

    Hyperbolic flow by mean curvature

    Rotstein, H. G., Brandon, S. & Novick-Cohen, A., Mar 1999, In: Journal of Crystal Growth. 198-199, pt 2, p. 1256-1261 6 p.

    Research output: Contribution to journal › Conference article › peer-review

    22 Scopus citations

  • Hyperbolic non-conserved phase field equations

    Rotstein, H. G., Nepomnyashchy, A. & Novick-Cohen, A., Mar 1999, In: Journal of Crystal Growth. 198-199, pt 2, p. 1262-1266 5 p.

    Research output: Contribution to journal › Conference article › peer-review

    3 Scopus citations